{"id":"https://openalex.org/W3159099133","doi":"https://doi.org/10.1109/icpr48806.2021.9412931","title":"Utilising Visual Attention Cues for Vehicle Detection and Tracking","display_name":"Utilising Visual Attention Cues for Vehicle Detection and Tracking","publication_year":2021,"publication_date":"2021-01-10","ids":{"openalex":"https://openalex.org/W3159099133","doi":"https://doi.org/10.1109/icpr48806.2021.9412931","mag":"3159099133"},"language":"en","primary_location":{"id":"doi:10.1109/icpr48806.2021.9412931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048948657","display_name":"Feiyan Hu","orcid":"https://orcid.org/0000-0001-7451-6438"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Feiyan Hu","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076275461","display_name":"G. Venkatesh","orcid":null},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Venkatesh G M","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106498523","display_name":"Noel E. O\u2019Connor","orcid":"https://orcid.org/0000-0002-4033-9135"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Noel E. O'Connor","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008334059","display_name":"Alan F. Smeaton","orcid":"https://orcid.org/0000-0003-1028-8389"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Alan F. Smeaton","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022651146","display_name":"Suzanne Little","orcid":"https://orcid.org/0000-0003-3281-3471"},"institutions":[{"id":"https://openalex.org/I42934936","display_name":"Dublin City University","ror":"https://ror.org/04a1a1e81","country_code":"IE","type":"education","lineage":["https://openalex.org/I42934936"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Suzanne Little","raw_affiliation_strings":["Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"Insight SFI Research Centre for Data Analytics, Dublin City University, Dublin, Ireland","institution_ids":["https://openalex.org/I42934936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048948657"],"corresponding_institution_ids":["https://openalex.org/I42934936"],"apc_list":null,"apc_paid":null,"fwci":0.3843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.59303922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5535","last_page":"5542"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8039358854293823},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8000963926315308},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7173792123794556},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.6327164173126221},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6109717488288879},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.580244243144989},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.5348976850509644},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5011522769927979},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.4765906035900116},{"id":"https://openalex.org/keywords/visual-search","display_name":"Visual search","score":0.4333905279636383},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.42745858430862427},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4151924252510071},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2704896330833435}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8039358854293823},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8000963926315308},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7173792123794556},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.6327164173126221},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6109717488288879},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.580244243144989},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.5348976850509644},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5011522769927979},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.4765906035900116},{"id":"https://openalex.org/C158495155","wikidata":"https://www.wikidata.org/wiki/Q2369151","display_name":"Visual search","level":2,"score":0.4333905279636383},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.42745858430862427},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4151924252510071},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2704896330833435},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr48806.2021.9412931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr48806.2021.9412931","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 25th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8761032062","display_name":null,"funder_award_id":"SFI/12/RC/2289_P2,SFI/16/SP/3804","funder_id":"https://openalex.org/F4320320847","funder_display_name":"Science Foundation Ireland"}],"funders":[{"id":"https://openalex.org/F4320320847","display_name":"Science Foundation Ireland","ror":"https://ror.org/0271asj38"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W652333456","https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1821462560","https://openalex.org/W1946609740","https://openalex.org/W2102605133","https://openalex.org/W2103124057","https://openalex.org/W2150066425","https://openalex.org/W2151739914","https://openalex.org/W2163557299","https://openalex.org/W2165742115","https://openalex.org/W2168894214","https://openalex.org/W2314032274","https://openalex.org/W2471495400","https://openalex.org/W2474389331","https://openalex.org/W2521093158","https://openalex.org/W2570343428","https://openalex.org/W2583180462","https://openalex.org/W2602893595","https://openalex.org/W2605030164","https://openalex.org/W2609144136","https://openalex.org/W2613718673","https://openalex.org/W2750784772","https://openalex.org/W2883284130","https://openalex.org/W2952341854","https://openalex.org/W2962740980","https://openalex.org/W2962917547","https://openalex.org/W2963150697","https://openalex.org/W2963350370","https://openalex.org/W2963606038","https://openalex.org/W2963685207","https://openalex.org/W2964118293","https://openalex.org/W3003490096","https://openalex.org/W3106250896","https://openalex.org/W6675414472","https://openalex.org/W6684665197","https://openalex.org/W6743188669","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W33281282","https://openalex.org/W2998150508","https://openalex.org/W2787294799","https://openalex.org/W2341540728","https://openalex.org/W2753186118","https://openalex.org/W4244637313","https://openalex.org/W3089421211","https://openalex.org/W140219906","https://openalex.org/W4322630379","https://openalex.org/W2021790700"],"abstract_inverted_index":{"Advanced":[0],"Driver-Assistance":[1],"Systems":[2],"(ADAS)":[3],"have":[4],"been":[5],"attracting":[6],"attention":[7,35,48,54,61,77,112,139],"from":[8],"many":[9],"researchers.":[10],"Vision-based":[11],"sensors":[12],"are":[13,128],"the":[14,110],"closest":[15],"way":[16],"to":[17,32,103],"emulate":[18],"human":[19],"driver":[20],"visual":[21,34,47,76,111,138],"behaviour":[22],"while":[23],"driving.":[24],"In":[25],"this":[26],"paper,":[27],"we":[28],"explore":[29],"possible":[30],"ways":[31],"use":[33,136],"(saliency)":[36],"for":[37,82],"object":[38,71,151],"detection":[39,152],"and":[40,58,97,100,132,140],"tracking.":[41],"We":[42,86,107],"investigate:":[43],"1)":[44],"How":[45,74],"a":[46,52,69,75,88,117,145],"map":[49,57,62,78,113],"such":[50],"as":[51,96],"subjectness":[53,101],"or":[55],"saliency":[56],"an":[59],"objectness":[60,99],"can":[63,79,92],"facilitate":[64],"region":[65],"proposal":[66],"generation":[67],"in":[68,150],"2-stage":[70],"detector;":[72],"2)":[73],"be":[80],"used":[81],"tracking":[83,115,156],"multiple":[84],"objects.":[85],"propose":[87],"neural":[89],"network":[90],"that":[91],"simultaneously":[93],"detect":[94],"objects":[95],"generate":[98],"maps":[102],"save":[104],"computational":[105],"power.":[106],"further":[108],"exploit":[109],"during":[114],"using":[116],"sequential":[118],"Monte":[119],"Carlo":[120],"probability":[121],"hypothesis":[122],"density":[123],"(PHD)":[124],"filter.":[125],"The":[126,135],"experiments":[127],"conducted":[129],"on":[130,160],"KITTI":[131,161],"DETRAC":[133],"datasets.":[134],"of":[137,148],"hierarchical":[141],"features":[142],"has":[143],"shown":[144],"considerable":[146],"improvement":[147],"\u22488%":[149],"which":[153],"effectively":[154],"increased":[155],"performance":[157],"by":[158],"\u22484%":[159],"dataset.":[162]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
